There is a newer version of the record available.

Published January 20, 2022 | Version v2
Software Open

Forecasting the propagation of pandemic shocks with a dynamic input-output model

  • 1. University of Oxford
  • 2. Sant'Anna School of Advanced Studies

Description

Reproduction code and data for Pichler, Pangallo, del Rio-Chanona, Lafond, Farmer (2022): Forecasting the propagation of pandemic shocks with a dynamic input-output model

Folder description:

- code:
This folder contains the basic scripts to construct the initialisation data and to run the economic model.
    * 0_basic_data_IHS_matrices.R processes the IHS input data survey
    * 0_basic_data_uk_55sectors.R organises the WIOD (www.wiod.org) data
    * model_functions.R contains the economic model
    * model_initialization.R initialises the baseline setup of the model
    * main_55sectors is a sample run of the baseline model

- data:
This folder contains various data which is needed to initialise the model. For example, the folder contains the relevant WIOD data, the IHS Markit survey results, inventory data, ...

- analysis:
This folder contains all scripts to reproduce the results of the paper which are organized in topic-subfolders.

- results:
This folder contains all results like figures and output data is saved under topic-subfolders. By default, all analysis scripts are saving output into the results folder.

Files

covid19inputoutput.zip

Files (555.3 MB)

Name Size Download all
md5:2ff4097533a29fc72906693601a364a7
555.3 MB Preview Download

Additional details

Related works

Is supplement to
Preprint: https://arxiv.org/abs/2005.10585 (URL)